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副溶血弧菌在低温贮藏过程中的失活动力学特征

期刊名称：食品科学，2008，29(7)：47-51
时间：0
分类：TS207.4[轻工技术与工程—食品科学;轻工技术与工程—食品科学与工程]
作者机构：[1]江苏省人兽共患病学重点实验室,江苏扬州225009, [2]扬州大学食品科学与工程学院,江苏扬州225009
相关基金：国家杰出青年科学基金项目（30425031）;“十一五”国家科技支撑计划项目（2006BAK02A28）
相关项目：兽医传染病学

关键词：副溶血弧菌, 低温贮藏, 失活动力学, 模型, Vibrio parahaemolyticus, low-temperature storage, inactivation kinetics, model

中文摘要：

本实验对在4℃和-20℃贮藏温度下接种于带鱼样品中的4株副溶血弧菌的失活动力学特征进行了研究,结果表明：在4℃冷藏过程中,60d贮藏期内带鱼样品中副溶血弧菌的残活细胞数降低了6.55～8.22lgCFU,在起始20d内失活速度缓慢,平均下降速率为0.06～0.1lgCFU/d,在第25～35d内失活速度变快,平均下降速率为0.16～0.2lgCFU/d,而在第35～60d的平均下降速率为0.11～0.12lgCFU/d,不同菌株之间下降速度有所差异,其中菌株Vp06001下降速度显著快于其它3个菌株（p〈0.01）。在-20℃冷冻过程中,在开始5d内下降速度最快（0.39lgCFU/d）,在10～60d下降速度缓慢（0.027lgCFU/d）,菌株之间没有显著差异（p〉0.05）。应用线性模型、Weibull模型和Log-logistic模型对残活曲线进行了拟合,通过拟合方程计算分析预测值与实测值之间的精确因子（Af）、偏差因子（Bf）、均方根差（RMSE）和相关系数平方（R2）4个评价参数,结果表明：在4℃冷藏过程中Log-logistic模型拟合的精确度显著高于线性模型和Weibull模型（p〈0.01）;而在-20℃贮藏温度下Weibull模型可以较好的描述Vp的失活动力学特征。

英文摘要：

The survival rates of four Vibrio parahaemolyticus strains inoculated into Trichiurus japonicus samples were measured during 60 days of storage at 4 ℃ and -20 ℃ and their survival curves were plotted respectively. The results showed that the survival cells decline by 6.55～8.22 lgCFU at 4 ℃ during 60-day storage period. And the survival curves showed that in initial 20 days, the mean inactivation speeds are slow, 0.06～0.1 lgCFU/d; In 25～35 days, rapid drop with 0.16～0.2 lgCFU/α occurs; and during the followed period of 25 days, the mean inactivation speeds are 0.11～0.12 lgCFU/d. There were some differences among inactivation speeds of different strains of Vibrio parahaemolyticus, and the drop of Vp06001 is significantly faster than that of the other 3 strains （p〈0.05）. During storage period at -20 ℃, the survival cells decline rapidly by 0.39 lgCFU/α speed in initial 5 days, until the 60th day slow drop follows by 0.027 lgCFU/d. There were no significant differences among inactiviation speeds of different strains （p〉0.05）. Linear, Weibull and Log-logistic models were applied to fit survival rates data, and four evaluation parameters such as accurate factor （Af）, bias factor （Bf）, root mean square error （RMSE） and square correlation coefficient （R2） between predicted and observed values were analyzed. And the results showed Log-logistic model produces better fitness for data than Linear and Weibull model at 4 ℃ storage. However, at -20 ℃, Weibull model is better than other two models for describing inactivation kinetics of four Vibrio parahaemolyticus strains.

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